Senior Consultant (Databricks)
Unison Group Open · verified Oct 24, 2026 At a glance
Senior Data Engineering role at Unison Group. Remote, India.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain Databricks pipelines, then tune Spark jobs for scale, speed and cost
- Create ETL/ELT workflows with PySpark and Spark SQL, and manage Delta Lake structures
- Connect databases, APIs, streaming systems and cloud storage to bring data together
- Apply data quality, governance and security practices; monitor live workloads and resolve issues
- Automate releases through CI/CD and guide junior colleagues during project delivery
What you bring
- Strong hands-on Databricks experience, including Apache Spark, PySpark and Spark SQL
- Practical experience with Delta Lake, Unity Catalog and Databricks Workflows
- Strong SQL and data modeling skills, plus experience with AWS, Azure or another listed cloud platform
- Experience with data lakes, warehouses and modern architectures, along with orchestration and Git tools
Who this fits
This senior consulting role suits someone who can deliver Databricks data platforms and provide technical guidance to junior teammates. The role is remote in India.
From the employer
Job Summary
We are seeking an experienced Senior Consultant – Databricks to design, develop, and optimize modern data platforms on Databricks. The ideal candidate will have strong expertise in data engineering, cloud technologies, ETL development, and big data processing. You will collaborate with cross-functional teams to build scalable, secure, and high-performance data solutions that support analytics, AI, and business intelligence initiatives.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks.
- Build and optimize ETL/ELT workflows using PySpark and Spark SQL.
- Develop and manage Delta Lake architecture for reliable and efficient data processing.
- Integrate data from multiple sources including databases, APIs, streaming platforms, and cloud storage.
- Collaborate with business stakeholders, data analysts, and data scientists to understand business requirements.
- Optimize Spark jobs for performance, scalability, and cost efficiency.
- Implement data quality, governance, and security best practices.
- Monitor production workloads and troubleshoot performance issues.
- Automate deployment processes using CI/CD pipelines.
- Mentor junior team members and provide technical guidance during project delivery.
Required Skills
- Strong experience with Databricks Platform.
- Hands-on expertise in Apache Spark, PySpark, and Spark SQL.
- Experience with Delta Lake, Unity Catalog, and Databricks Workflows.
- Strong SQL programming and data modeling skills.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Experience working with data lakes, data warehouses, and modern data architectures.
- Knowledge of orchestration tools such as Azure Data Factory (ADF), Apache Airflow, or similar.
- Experience with version control tools such as Git.
- Understanding of CI/CD practices and DevOps concepts.
- Excellent analytical, troubleshooting, and problem-solving skills.
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